About the Data Architect / Engineer Role at Robert Half

Robert Half is thrilled to present an exceptional opportunity for a Senior Data Architect / Engineer to join our client's innovative team on a long-term contract basis in Marysville, Ohio. This pivotal role sits at the heart of transforming raw data into actionable insights for the automotive industry, one of the most dynamic and fast-evolving sectors today. As a Data Architect / Engineer, you will spearhead the design, development, and maintenance of advanced data solutions that power analytics and business intelligence (BI) initiatives. Working with state-of-the-art cloud technologies, you will optimize data systems, streamline processes, and ensure seamless data flow to support strategic business decisions.

This position is perfect for seasoned professionals passionate about AWS cloud architecture, big data engineering, and delivering scalable solutions. Marysville, Ohio, offers a vibrant community with proximity to major automotive hubs, providing the ideal backdrop for professionals seeking impactful work in a supportive environment. If you thrive on building robust data pipelines, automating workflows, and collaborating with cross-functional teams, this role at Robert Half will propel your career forward.

Why This Role Stands Out in Data Engineering Careers

In the competitive landscape of data architect jobs in Ohio, this opportunity distinguishes itself through its focus on cutting-edge AWS services and real-world automotive applications. You'll contribute to projects that directly influence operational efficiency and BI-driven innovations, making a tangible difference in a global industry leader.

Key Responsibilities

As a Senior Data Architect / Engineer, your expertise will be instrumental across a wide spectrum of technical and strategic tasks. Here's what you'll dive into daily:

• Scalable Data Pipeline Design: Architect and deploy high-performance data pipelines leveraging AWS Glue for ETL processes, Amazon S3 for durable storage, and Redshift for advanced analytics warehousing.
• Workflow Orchestration: Engineer sophisticated workflows using AWS Step Functions for state machine orchestration, EventBridge for event-driven architectures, and Lambda for serverless computing to ensure seamless automation.
• CI/CD Integration: Champion DevOps excellence by developing CI/CD pipelines with GitHub Actions and complementary tools, enabling rapid, reliable deployments and version control.
• Data Modeling Mastery: Craft conceptual, logical, and physical data models optimized for both transactional (OLTP) and analytical (OLAP) systems, ensuring data integrity and accessibility.
• Performance Optimization: Fine-tune database queries, normalize complex datasets, and implement indexing strategies to achieve peak system performance.
• Advanced Data Engineering: Harness Python scripting and PySpark for distributed data processing, ETL transformations, and custom automation scripts.
• Proactive Monitoring: Utilize CloudWatch dashboards and Glue job metrics to monitor pipeline health, detect anomalies, and maintain SLAs.
• Issue Resolution & Compliance: Diagnose and rectify data quality issues, performance bottlenecks, and ensure adherence to regulatory standards through robust troubleshooting.
• Governance Implementation: Establish metadata management frameworks and audit trails to uphold data governance, lineage tracking, and compliance protocols.
• Collaborative Alignment: Partner with data scientists, analysts, product managers, and executives to translate business requirements into scalable data architectures.

Required Qualifications for Data Architect / Engineer

To excel in this role, candidates should bring a proven track record in cloud-native data engineering. Key qualifications include:

• 5+ years of hands-on experience in data architecture and engineering, preferably in AWS environments.
• Deep expertise in AWS services: Glue, S3, Redshift, Step Functions, EventBridge, Lambda, and CloudWatch.
• Strong proficiency in Python, PySpark, SQL, and data modeling tools.
• Demonstrated success in building CI/CD pipelines with GitHub and DevOps practices.
• Experience optimizing large-scale datasets for performance and scalability.
• Familiarity with data governance, metadata management, and compliance frameworks.
• Excellent problem-solving skills and ability to troubleshoot complex data issues.
• Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred).
• Experience in the automotive industry or manufacturing sector is a plus.

Robert Half values diversity and seeks candidates who are collaborative, innovative, and committed to excellence.

Why Join Us at Robert Half?

Partnering with Robert Half means accessing premier opportunities with top-tier clients in Marysville, Ohio. Enjoy competitive pay (estimated $140,000 - $180,000 annually based on experience), long-term contract stability, and exposure to groundbreaking technologies. Benefit from our renowned support, including career coaching, skill-building resources, and a network spanning Fortune 500 companies. In the automotive epicenter of Ohio, you'll contribute to mission-critical projects that drive industry innovation. Join a team where your data architecture expertise fuels business success and personal growth. Apply today to elevate your career with Robert Half!